Factset Research Systems (FDS) Total Non-Current Liabilities (2010 - 2026)
Factset Research Systems' Total Non-Current Liabilities came in at $2.12 billion for fiscal Q3 2026 (quarter ended May 31, 2026), down 0.8% from $2.14 billion a year earlier but up 3.4% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Factset Research Systems' Total Non-Current Liabilities was $2.07 billion, down 1.4% from FY2024.
- Total Non-Current Liabilities has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- Going back by fiscal year, Total Non-Current Liabilities was $2.1 billion in FY2024 (-9.1%), $2.31 billion in FY2023 (-12.7%), $2.65 billion in FY2022 (+124.8%) and $1.18 billion in FY2021 (+1.6%).
- The five-year range for quarterly Total Non-Current Liabilities is $1.12 billion (fiscal Q1 2022) to $2.77 billion (fiscal Q3 2022).
- Year-over-year, Total Non-Current Liabilities has declined for four consecutive quarters, with an average decline of 3.1% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q3 2022 (growth of 139.4%), and the weakest in fiscal Q3 2023 (a decline of 17.3%).
- Business Quant data shows FDS's Total Non-Current Liabilities at $2.05 billion (Q2 2026), $2.01 billion (Q1 2026) and $2.07 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 30.53 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 10.72 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 8.15 Bn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 5.65 Bn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 7.33 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 7.06 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 2.12 Bn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 2.90 Bn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 47.50 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 167.36 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.12 Bn |
| Feb 28, 2026 | 2.05 Bn |
| Nov 30, 2025 | 2.01 Bn |
| Aug 31, 2025 | 2.07 Bn |
| May 31, 2025 | 2.14 Bn |
| Feb 28, 2025 | 2.14 Bn |
| Nov 30, 2024 | 2.02 Bn |
| Aug 31, 2024 | 2.10 Bn |
| May 31, 2024 | 2.11 Bn |
| Feb 29, 2024 | 2.15 Bn |
| Nov 30, 2023 | 2.22 Bn |
| Aug 31, 2023 | 2.31 Bn |
| May 31, 2023 | 2.29 Bn |
| Feb 28, 2023 | 2.36 Bn |
| Nov 30, 2022 | 2.47 Bn |
| Aug 31, 2022 | 2.65 Bn |
| May 31, 2022 | 2.77 Bn |
| Feb 28, 2022 | 1.13 Bn |
| Nov 30, 2021 | 1.12 Bn |
| Aug 31, 2021 | 1.18 Bn |
API Access
Factset Research Systems Total Non-Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "FDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();